A coding scheme for indexing multimodal biometric databases (2009)
by A Gyaourova, A Ross
Venue: in Proc. IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition (CVPR)Conf
Index Codes for Multibiometric Pattern Retrieval
by Aglika Gyaourova, Arun Ross, Senior Member
"... Abstract—In a biometric identification system, the identity corresponding to the input data (probe) is typically determined by comparing it against the templates of all identities in a database (gallery). Exhaustive matching against a large number of identities increases the response time of the sys ..."
Abstract—In a biometric identification system, the identity corresponding to the input data (probe) is typically determined by comparing it against the templates of all identities in a database (gallery). Exhaustive matching against a large number of identities increases the response time of the system and may also reduce the accuracy of identification.Onewaytoreducetheresponsetime is by designing biometric templates that allow for rapid matching, as in the case of IrisCodes. An alternative approach is to limit the number of identities against which matching is performed based on criteria that are fast to evaluate. We propose a method for generating fixed-length codes for indexing biometric databases. An index code is constructed by computing match scores between a biometric image and a fixed set of reference images. Candidate identities are retrieved based on the similarity between the index code of the probe image and those of the identities in the database. The proposed technique can be easily extended to retrieve pertinent identities from multimodal databases. Experiments on a chimeric face and fingerprint bimodal database resulted in an 84% average reduction in the search space at a hit rate of 100%. These results suggest that the proposed indexing scheme has the potential to substantially reduce the response time without compromising the accuracy of identification. Index Terms—Biometrics, feature extraction, image retrieval, indexing, pattern matching.
... by any of the modalities. Intersection of the identities in the candidate lists is another option for indexing multimodal databases but is not discussed in this paper due to its inferior performance =-=[33]-=-. B. Dimensionality of the Index Codes While using a larger number of reference images can improve indexing performance it also increases the computational requirements of the method (as discussed in ...
Multibiometric Database Retrieval Method Based on Index Code
by Sonali Chavan, Vanita Mane
"... Abstract — Multibiometrics use of multiple biometric sources for human recognition, mitigates some of the limitations of unimodal biometric systems by increasing recognition accuracy, imparting fault-tolerance, and enhancing security. These databases are used extensively, thereby requirement of effi ..."
Abstract — Multibiometrics use of multiple biometric sources for human recognition, mitigates some of the limitations of unimodal biometric systems by increasing recognition accuracy, imparting fault-tolerance, and enhancing security. These databases are used extensively, thereby requirement of efficient technique for searching and retrieving relevant identities from large biometric database. Searching out a biometric information for associate degree identity is usually done by comparing the probe(input) image against every stored identity in the database and generating a ranked list of candidate identities. thorough matching against an large range of identities will increase the latency of the system and should additionally reduce the accuracy of identification. index code is obtained by computing match scores between a biometric input images and fixed set of reference images. Candidate identities are retrieved supported the similarity between the index code of the probe image and people of the identities within the info. we have propose a technique for generating fixed-length codes for classification biometric databases. The proposed technique is extended to retrieve pertinent identities from multimodal databases. New representation schemes that allow quicker search and, therefore, shorter response time are required.
... valuedsvector that describes orientation energies at different scalessand orientations within an image) to a compact binaryscode, with a few hundred bits per image[6].sD. Indexing Using Match Scores =-=[7]-=-[8]sReducing the dimensionality of the biometric templatesby using a set of distance (or similarity) scores to a fixedsset of tem-plates has been used in speaker recognition.sSturimet al.[9]compared e...
Framework for a Dynamic Fingerprint Indexing Biometric-based Voting System: Enhancing Voter Enrolment, Verification & Authentication
by Ogechukwu N. Iloanusi, Charles C. Osuagwu
"... Fingerprint biometric is the most widely deployed trait in biometric recognition systems. This is largely due to its level of acceptance and cost effective integration in existing and new technologies. Fingerprint has been the form for casting votes in elections hence the logical biometric to integr ..."
Fingerprint biometric is the most widely deployed trait in biometric recognition systems. This is largely due to its level of acceptance and cost effective integration in existing and new technologies. Fingerprint has been the form for casting votes in elections hence the logical biometric to integrate in E-voting systems. Many nations have embraced E-voting using fingerprint biometric however postelection technical and societal problems still arise especially in the developing countries in Africa. This paper proposes a scheme for voter registration, biometric enrolment, verification and voting from any polling centre within the country and an indexing technique that would facilitate the search for a matching identity to an input fingerprint. In other words, a registered voter does not need to cast his/her vote where s(he) registered. Minutiae-based statistical codes fused at the score-level are proposed as indexing features in this paper. The indexing technique has an average penetration rate of 7.0573 % at a 100 % hit rate for 10 prints verification.
...penetration rate is the fraction of user identities retrieved from the database upon presentation of an input fingerprint and the hit rate is the probability that the genuine fingerprint is retrieved =-=[17, 25]-=-. The penetration rate is given as [1]: number of images accessed Penetration rate � � 100% (1) Total number of images 57… 3. PROPOSED SCHEME: DYNAMIC BIOMETRIC-BASED SCHEME FOR REGISTRATION, VERIFIC...